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Bayesian probability
Results: 1640

#	Item
751	Literatur zu Bayesscher Statistik und Entscheidungstheorie Add to Reading List Source URL: www.eawag.ch Language: English - Date: 2015-02-05 07:29:39 Philosophy of science Statistical inference Bayesian probability Bayesian inference Sensitivity analysis Markov chain Monte Carlo Hydrology Swat-CUP Bayes factor Statistics Bayesian statistics Statistical theory
752	Probabilistic Classification and Clustering in Relational Data Ben Taskar Eran Segal Daphne Koller Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-10-03 21:16:26 Machine learning Graphical models Cluster analysis Relational model Expectation–maximization algorithm Relation Probabilistic relational model Bayesian network Data mining Statistics Probability and statistics Statistical models
753	Learning & Behavior 2008, 36 (3), [removed]doi: [removed]LB[removed]Bayesian approaches to associative learning: From passive to active learning Add to Reading List Source URL: www.indiana.edu Language: English - Date: 2008-07-01 21:18:32 Rescorla–Wagner model Bayesian probability Bayesian inference Recall Graphical model Estimation theory Hierarchical Bayes model Statistics Bayesian statistics Kalman filter
754	Markov Chain Monte Carlo With Mixtures of Mutually Singular Distributions Raphael G OTTARDO and Adrian E. R AFTERY Markov chain Monte Carlo (MCMC) methods for Bayesian computation are mostly used when the dominating meas Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2010-06-07 16:59:42 Markov models Markov chain Monte Carlo Probability distributions Measure theory Metropolis–Hastings algorithm Markov chain Gibbs sampling Mixture distribution Singular distribution Mathematical analysis Statistics Monte Carlo methods
755	Discriminative Probabilistic Models for Relational Data Ben Taskar Computer Science Dept. Stanford University Stanford, CA 94305 Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-10-04 19:14:15 Graphical models Probability and statistics Bayesian statistics Probability Theoretical computer science Generative model Markov random field Pattern recognition Bayesian network Machine learning Statistics Statistical models
756	Overview Bayesian learning theory applied to human cognition Robert A. Jacobs1∗ and John K. Kruschke2 Probabilistic models based on Bayes’ rule are an increasingly popular approach to Add to Reading List Source URL: www.indiana.edu Language: English - Date: 2012-01-07 13:16:34 Bayesian inference Bayesian probability Graphical model Expectation–maximization algorithm Prior probability Hierarchical Bayes model Mixture model Latent variable Dirichlet process Statistics Bayesian statistics Bayesian network
757	Ibrahim et al. BMC Medical Research Methodology 2012, 12:183 http://www.biomedcentral.com[removed] RESEARCH ARTICLE Open Access Add to Reading List Source URL: www.biomedcentral.com Language: English Statistical theory Econometrics Bayesian inference Statistical forecasting Prior probability Marginal likelihood Confidence interval Statistics Bayesian statistics Statistical inference
758	What to believe: Bayesian methods for data analysis Add to Reading List Source URL: www.indiana.edu Language: English - Date: 2010-07-02 08:38:15 Bayesian inference Bayes factor Credible interval Point estimation Prior probability Confidence interval Statistical hypothesis testing Dirichlet process Bayesian probability Statistics Bayesian statistics Statistical inference
759	Convex Point Estimation using Undirected Bayesian Transfer Hierarchies Gal Elidan Computer Science Dept. Stanford University Stanford, CA 94305 Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2008-11-05 13:44:45 Empirical Bayes method Conjugate prior Prior probability Naive Bayes classifier Bayes estimator Maximum likelihood Bayesian inference Hyperprior Likelihood function Statistics Bayesian statistics Hierarchical Bayes model
760	Bayesian Language Modelling of German Compounds J an A. Botha1 Chr is D y er 2 Phil Blunsom1 (1) University of Oxford (2) Carnegie Mellon University {jan.botha,phil.blunsom}@cs.ox.ac.uk, [removed] Add to Reading List Source URL: aclweb.org Language: English - Date: 2013-02-21 11:41:25 Stochastic processes Natural language processing Statistical natural language processing Computational linguistics Speech recognition N-gram Perplexity Pitman–Yor process Language model Statistics Probability and statistics Linguistics

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